Antibodies against Salmonella is associated with reduced reproductive success in female alpine chamois (Rupicapra rupicapra)
Bibliographic record
Abstract
Microbial infections that affect reproduction are poorly studied in wildlife because reproductive disorders usually go unnoticed. However, such infections are a major concern in domestic ungulates, which raises the question of their influence on reproductive success and population dynamics of wild ungulates. Three bacterial abortive infections are frequent in domestic ruminants: salmonellosis caused by Salmonella enterica serovar Abortusovis, enzootic abortion caused by Chlamydophila abortus , and Q fever caused by Coxiella burnetii . They induce abortions and neonatal mortality in sheep ( Ovis aries L., 1758), goat ( Capra hircus L., 1758), and cattle ( Bos taurus L., 1758). However, little information is known about these bacteria in wild ungulates, particularly in mountain ungulates that may share alpine pastures with infected domestic ruminants. We investigated the relationship between female serological status against Salmonella, Chlamydophila, and Coxiella and her reproductive success. From 1986 to 2003, the reproductive and serological statuses of 125 female chamois ( Rupicapra rupicapra (L., 1758)) aged 2–10 years were available. Reproductive success was the lowest for 2-year-old females and for females born at the highest density. Moreover, we showed for the first time in a wild ungulate population that females with high titer in antibodies against Salmonella experienced a decrease in their reproductive success. Titers in antibodies against Chlamydophila and Coxiella were not related to the reproductive success of female chamois.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".